Bibliographic record
Abstract
Abstract Boycotts of various types and forms have become in recent years an increasingly common feature of political life. And yet, despite both their ubiquity and clear ethical grounding, they remain to date under‐explored in academic philosophy. I examine in this article the question of the ethics of boycotting, using the academic and cultural boycott of Israel as a case study. I propose that the boycott exhibits an intriguing pattern of continuous tension between its own stated principles and its realised practices, and suggest that this tension is not a dysfunction of the boycott but rather a structural feature, which emanates from its primary commitment to the idea of anti‐normalisation as an ethical imperative. I explore the complex cross‐linguistic political pragmatics of the notion of (anti‐)normalisation, and argue that the commitment to it on the part of the boycott movement, as a group actor, effectively amounts to a capricious form of arbitrary treatment of the boycotted. I then propose that the effective validation of arbitrary treatment constitutes, first, a harm in itself; and, second, that it hinders the capacity of the campaign to draw on and contribute to a general theory of the ethics of boycotting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.062 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".